In an innovative response to the global pandemic, The MIT Press has unveiled Rapid Reviews: COVID-19 (RR:C19), a groundbreaking open access journal leveraging artificial intelligence to accelerate peer review of COVID-19 research. This cutting-edge platform delivers real-time, verified scientific i[more]
The race to develop effective treatments against Covid-19 stands as one of humanity's most pressing challenges, demanding unprecedented collaboration across scientific disciplines. At the forefront of this battle, MIT's interdisciplinary teams—comprising experts in machine learning algorithms and l[more]
Effective business meetings serve as decision-making hubs where crucial details are ironed out. However, the true challenge emerges afterward—transforming these discussions into actionable outcomes. Participants must accurately recall details, understand their responsibilities, and execute on commi[more]
Modern medications typically contain approximately eight additives classified as "inactive" ingredients. These components are incorporated into pills to enhance taste, extend shelf life, and stabilize the active pharmaceutical compounds. While some of these additives have previously drawn scrutiny [more]
The MIT Stephen A. Schwarzman College of Computing stands at the forefront of addressing the unprecedented opportunities and challenges in our digital era. This innovative institution is transforming academia through three fundamental pillars: accelerating the evolution of computer science and arti[more]
The swift advancement of artificial intelligence technologies worldwide has sparked growing demands for comprehensive AI governance: regulations that foster technological breakthroughs while safeguarding individuals from privacy intrusions, exploitative monitoring, algorithmic discrimination, and o[more]
In a groundbreaking move to advance artificial intelligence education and research, the Massachusetts Institute of Technology has restructured its largest academic unit, the Department of Electrical Engineering and Computer Science (EECS). This transformation aligns with the establishment of the MI[more]
Following a cardiac event or stroke, medical professionals frequently rely on risk prediction models to steer treatment decisions. These sophisticated algorithms calculate a patient's mortality probability by analyzing various factors including age, symptoms, and distinctive health characteristics.[more]
An international team of scientists, including MIT Assistant Professor Philip Harris and postdoc Dylan Rankin from the Laboratory for Nuclear Science, has successfully tested groundbreaking artificial intelligence technology capable of instantly identifying specific particle signatures within the m[more]
MIT researchers have developed a groundbreaking system that automatically learns how to schedule data-processing operations across thousands of servers, a task traditionally reserved for human-designed algorithms. This innovation promises to dramatically enhance the efficiency of today's power-hung[more]
